Jonathan G. Heddle

2.7k citations
82 papers · 2.0k · h-index 29

Impact in

Papers in

    • RNA and protein synthesis mechanisms 22
    • Advanced biosensing and bioanalysis techniques 21
    • Cancer therapeutics and mechanisms 13
    • RNA Interference and Gene Delivery 11
    • Bacteriophages and microbial interactions 31

Jonathan G. Heddle

82 papers receiving 1.9k citations

Peers

Jonathan G. Heddle
Comparison fields: 5 of 110
  • Molecular Medicine 226
  • Structural Biology 52
  • Ecology 481
  • Molecular Biology 1.3k
  • Endocrinology 93
Replace Eilika Weber‐Ban with:
Eilika Weber‐Ban Switzerland
William Clemons United States
Yong‐Gui Gao Singapore
Yury S. Polikanov United States
Yon W. Ebright United States
Mark J. van Raaij Spain
Margarita Menéndez Spain
Marat Yusupov France
Brian T. Wimberly United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan G. Heddle

Since Specialization
Citations

This map shows the geographic impact of Jonathan G. Heddle's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan G. Heddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan G. Heddle more than expected).

Fields of papers citing papers by Jonathan G. Heddle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan G. Heddle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan G. Heddle. The network helps show where Jonathan G. Heddle may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan G. Heddle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan G. Heddle Line = papers co-authored together Jonathan G. Heddle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2001100
3 200297
4 201684
5 201972
6 200366
7 200964
8 200463
9 200062
10 201749
11 201847
12 201844
13 201941
14 201239
15 202037
16 201335
17 200834
18 200134
19 202233
20 200633

About Jonathan G. Heddle

Jonathan G. Heddle is a scholar working on Molecular Biology, Ecology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (31 papers), RNA and protein synthesis mechanisms (22 papers), Advanced biosensing and bioanalysis techniques (21 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Cancer therapeutics and mechanisms (13 papers), RNA Interference and Gene Delivery (11 papers), Bacterial Genetics and Biotechnology (8 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Molecular Medicine (226 citations), Structural Biology (52 citations), Ecology (481 citations), Molecular Biology (1.3k citations) and Endocrinology (93 citations). Jonathan G. Heddle has collaborated with scholars based in Poland, Japan and United Kingdom. Frequent co-authors include Anthony Maxwell, Jeremy R. H. Tame, Sam‐Yong Park, Soumyananda Chakraborti, Ichiro Yamashita, Kenji Iwasaki, Lois M. Wentzell, Ting‐Yu Lin, Julian A. Tanner and Satoru Unzai. Their work appears in journals such as Nano Letters, Journal of Molecular Biology, Small, Proceedings of the National Academy of Sciences and Antimicrobial Agents and Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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